Literature DB >> 29851127

Simplified 4-item criteria for polycystic ovary syndrome: A bridge too far?

Inthrani R Indran1,2, Zhongwei Huang1, Lay Wai Khin1, Jerry K Y Chan3,4, Veronique Viardot-Foucault3, Eu Leong Yong1.   

Abstract

OBJECTIVES: Although the Rotterdam 2003 polycystic ovarian syndrome (PCOS) diagnostic criteria is widely used, the need to consider multiple variables makes it unwieldy in clinical practice. We propose a simplified PCOS criteria wherein diagnosis is made if two of the following three items were present: (i) oligomenorrhoea, (ii) anti-mullerian hormone (AMH) above threshold and/or (iii) hyperandrogenism defined as either testosterone above threshold and/or the presence of hirsutism. DESIGN SETTING AND PARTICIPANTS: This prospective cross-sectional study consists of healthy women (n = 157) recruited at an annual hospital health screen for staff and volunteers from the university community, and a patient cohort (n = 174) comprising women referred for suspected PCOS. MAIN OUTCOME MEASURES: We used the healthy cohort to establish threshold values for serum testosterone, antral follicle counts (AFC), ovarian volume (OV) and AMH. Women from the patient cohort, classified as PCOS by simplified PCOS criteria, AMH alone and Rotterdam 2003, were compared with respect to prevalence of oligomenorrhoea, hyperandrogenism and metabolic indices.
RESULTS: In healthy women, testosterone ≥1.89 nmol/L, AFC ≥22 follicles and OV ≥8.44 mL, best predicted oligomenorrhoea and were used as threshold values for PCOS criteria. An AMH level ≥37.0 pmol/L best predicted polycystic ovarian morphology. AMH alone as a single biomarker demonstrated poor specificity (58.9%) for PCOS compared to Rotterdam 2003. In contrast, there was a 94% overlap in women selected as PCOS by the simplified PCOS criteria and Rotterdam 2003. The population characteristics of these two groups of PCOS women showed no significant mean differences in androgenic, ovarian, AMH and metabolic (BMI, HOMA-IR) variables.
CONCLUSIONS: Our data recommend the simplified PCOS criteria with population-specific thresholds for diagnosis of PCOS. Its ability to replace ovarian ultrasound biometry with the highly correlated variable AMH, and use of testosterone as a single marker for hyperandrogenaemia alongside the key symptoms of oligomenorrhoea and hirsutism confers significant clinical potential for the diagnosis of PCOS.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  anti-mullerian hormone; diagnosis; female infertility; oligomenorrhoea; polycystic ovary syndrome

Year:  2018        PMID: 29851127     DOI: 10.1111/cen.13755

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  7 in total

1.  Ovarian biomarkers predict controlled ovarian stimulation for in vitro fertilisation treatment in Singapore.

Authors:  Ryan Wai Kheong Lee; Lay Wai Khin; Marianne Sybille Hendricks; Heng Hao Tan; Sadhana Nadarajah; Nancy Wen Sim Tee; Seong-Feei Loh; Bee Choo Tai; Jerry Ky Chan
Journal:  Singapore Med J       Date:  2020-09       Impact factor: 1.858

2.  Managing polycystic ovary syndrome in primary care.

Authors:  Angelyn Chen Yin Lua; Choon How How; Thomas F J King
Journal:  Singapore Med J       Date:  2018-11       Impact factor: 1.858

3.  Phenotypic spectrum of polycystic ovary syndrome and their relationship to the circadian biomarkers, melatonin and cortisol.

Authors:  Audrey J R Lim; Inthrani R Indran; Michael S Kramer; Eu-Leong Yong
Journal:  Endocrinol Diabetes Metab       Date:  2019-03-22

4.  An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study.

Authors:  Huiyu Xu; Li Shi; Guoshuang Feng; Zhen Xiao; Lixue Chen; Rong Li; Jie Qiao
Journal:  J Med Internet Res       Date:  2020-09-21       Impact factor: 5.428

Review 5.  Sex Hormone-Binding Globulin (SHBG) as an Early Biomarker and Therapeutic Target in Polycystic Ovary Syndrome.

Authors:  Xianqin Qu; Richard Donnelly
Journal:  Int J Mol Sci       Date:  2020-11-01       Impact factor: 5.923

6.  Effect of body mass index (BMI) on phenotypic features of polycystic ovary syndrome (PCOS) in Singapore women: a prospective cross-sectional study.

Authors:  Samantha A Neubronner; Inthrani R Indran; Yiong Huak Chan; Angelica Win Pa Thu; Eu-Leong Yong
Journal:  BMC Womens Health       Date:  2021-04-01       Impact factor: 2.809

7.  Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records.

Authors:  Ky'Era V Actkins; Kritika Singh; Donald Hucks; Digna R Velez Edwards; Melinda Aldrich; Jeeyeon Cha; Melissa Wellons; Lea K Davis
Journal:  J Clin Endocrinol Metab       Date:  2021-01-01       Impact factor: 5.958

  7 in total

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